Physics-based learning for MRI reconstruction - Recent advances in static and dynamic imaging, Kerstin Hammernik

Description

During the past years, deep learning has evolved tremendously in the research field of MR image reconstruction. In this talk, I will guide you through these developments, ranging from learning advanced image regularization to learning physics-based unrolled optimization, and I will discuss challenges and caveats of deep learning for MR image reconstruction. I will cover examples ranging from 2D musculoskeletal imaging to higher-dimensional cardiac imaging that will show the vast potential for the future of fast MR image acquisition and reconstruction.

Period	15 Mar 2022
Event type	Guest talk
Location	AustriaShow on map